Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI alert aims to curb opioid overdoses in real time

NCT ID NCT06810076

Knowledge-focused Sponsor: University of Pittsburgh Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests a machine-learning tool that gives doctors a pop-up alert when they prescribe opioids to a patient at high risk of overdose. The alert explains why the patient is at risk and suggests safer options, like prescribing naloxone or referring to pain therapy. Researchers will compare outcomes before and after the tool is used in 13 clinics, involving about 674 patients and their doctors.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Machine-learning based clinical decision support tool (Overdose Prevention Alert)
What this could lead to
If successful, this tool could help doctors identify patients at risk of opioid overdose and take steps to prevent it, potentially reducing overdose rates.
What could go wrong
This is a small pilot study in a few clinics, so results may not apply broadly. The tool might not change doctor behavior or reduce overdoses as hoped.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

674 people

The number who actually took part.

Started

Apr 2025

Expected to finish

Oct 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: For PCP level outcomes assessment * PCPs * practicing in any of the 13 participating clinics (10 UF Health Family Medicine clinics and 3 UF Health Internal Medicine) in Gainesville, Florida. For patient level outcomes assessment: Inclusion criteria: Patients who seen in any of the 9 participating UF Health clinics who * are aged ≥18 years * received any opioid prescription in the past year prior to their clinic visit. * are identified as being at elevated risk for overdose by the ML algorithm. Exclusion Criteria: Patients who * had malignant cancer diagnosis or hospice care prior to study enrollment

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Chemically-induced disorders are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Conditions

The condition(s) this trial relates to.

Chemically-Induced Disorders mental disorder Narcotic-Related Disorders opiate dependence Opiate Overdose psychiatric disorder substance-related disorder acute opioid poisoning prevention target

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Chemically-induced disorders Mental disorders Narcotic-related disorders Opiate overdose Opioid-related disorders Substance-related disorders

Contacts and locations

Locations

  • University of Florida Health Internal Medicine and Family Medicine

    Gainesville, Florida, 32608, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.